On the relationship between monthly mean surface temperature and tornado days in the United States

Correlation was examined between detrended monthly surface temperature and monthly [E]F-1+ tornadoes and tornado days for several contiguous US regions during the period 1954–2022. This relatively simple, yet robust, analysis indicated that regional temperature fluctuations are moderately-to-strongly correlated with tornado days during some months and in certain regions. In general, surface temperatures during boreal cool (warm) season had a positive (negative) correlation with tornado days. Implications for using a continuous, simple scalar variable such as surface temperature for tornado prediction are discussed, as well as the potential utility for understanding changes in tornado frequency due to climate variability and change.

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Publication Details

Journal
npj Climate and Atmospheric Science
Published
2025-03-24
DOI
https://doi.org/10.1038/s41612-025-00993-2
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.11
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article

On the relationship between monthly mean surface temperature and tornado days in the United States

Vittorio A. Gensini, Kimberly A. Hoogewind, Harold E. Brooks
1 citations
npj Climate and Atmospheric Science
Climate variability and models
1.11
article

On the relationship between monthly mean surface temperature and tornado days in the United States

Vittorio A. Gensini, Kimberly A. Hoogewind, Harold E. Brooks
article en
1 citations

Abstract

Correlation was examined between detrended monthly surface temperature and monthly [E]F-1+ tornadoes and tornado days for several contiguous US regions during the period 1954–2022. This relatively simple, yet robust, analysis indicated that regional temperature fluctuations are moderately-to-strongly correlated with tornado days during some months and in certain regions. In general, surface temperatures during boreal cool (warm) season had a positive (negative) correlation with tornado days. Implications for using a continuous, simple scalar variable such as surface temperature for tornado prediction are discussed, as well as the potential utility for understanding changes in tornado frequency due to climate variability and change.

npj Climate and Atmospheric ScienceVol. 8(1)
Northern Illinois University (US), Cooperative Institute for Mesoscale Meteorological Studies (US), NOAA National Severe Storms Laboratory (US), University of Oklahoma (US)
Climate action
Openalex Percentile: Top 26%
Climate variability and models
1.11
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